Know for a fact what's working in your pipeline

Everyone's got an opinion, including your LLMs. Fluint proves what your won (and lost) deals have in common, and the odds your next one closes.

Start free → See how it works
Motorola neo4j Honeycomb Bullhorn Raft Bloomfire Adthena

Most GTM context maps your data. It can't tell you what closed the deal.

Leadership says it was their relationships. The rep says it was their demo. A graph built from your connectors can show that both touched the deal, but they can't tell you how much each changed the outcome.

Work backward from the deals you won and lost.

Fluint measures how much each selling behavior changes a deal's odds of closing, and how that shifts as the deal moves, for every segment and stage. Pick a segment to see the ranking change.

What raised the win rate
1 Next step booked on call +56
2 Pain validated call 1 +31
3 Multi-threaded +27
4 Exec brief before demo +19
5 MEDDPICC complete +1
Mid-market · 348 deals · lift vs. matched cohort
deal · acme corp
// served over MCP to your agent
predictor next_step_booked = false
lift +0.56 · cohort n=348
play → "Book the next meeting before the call ends"

The right next step, sent to every rep and agent where they already work.

Every recommendation comes from your own model and cites the deals behind it. It shows up in Claude, ChatGPT, Slack, Notion, or wherever your team already works.

Retrained every day as your deals move.

Every stage change and every win or loss goes back into the model overnight, so the rankings and recommendations reflect how your buyers are behaving this quarter.

model v4.1 live
live1,071 deals trained
1 Next step booked on call +54
2 Pain validated call 1 +29
3 Multi-threaded +24
4 Exec brief before demo +21

Key features in Fluint that make this work:

See all features →
Predictors →

Measures how much each behavior raises your win rate.
Book the next meeting before the call ends
Acme+3.1pt
Plays →

Turns each finding into a specific next step for reps, with the expected impact.
Loop Console →

Browse your deal data, the model's reasoning, and each team's results in one place.

Common questions

Call scoring grades things like talk time and tone against a generic checklist. Fluint looks at what happened on deals you actually won and lost, and measures how much each behavior changed the result by comparing similar deals.

Anything that happens on a deal: whether the next meeting got booked before the call ended, how many people on the buyer side were involved, whether pain came up early, when security review started. You can add your own signals too.

No. Fluint sets up and runs the data pipeline and the models, retrains them as deals close, and flags when accuracy slips. Your team just reads the results.

Most teams see their first rankings in one session after connecting Salesforce and a call recorder. Accuracy improves each night as more deals close.

Find out what's working in your pipeline this week.

Start with $300 in free credits. Connect Salesforce and your call recorder, and you'll see your first results in one session.